White paper: Everything you need to know about desktop virtualisation
If you’re seriously thinking about desktop virtualisation within your business, Steve Cassidy summarises the benefits, the pitfalls and how to ensure your deployment succeeds.

Think of desktop virtualisation as a superhero. That's not to say the software arrives in Lycra with a flowing cape more that when the broad and accumulated spread of software within your organisation stops feeling like a racing car and starts feeling more like a thicket of uprooted trees hitting a bridge in a flash-flood, you don't need more of the same thinking that got to that condition.
You need a transformative change.
Transformative changes are either painful (people get fired and their successors get to implement the Brave New World) or they are an epiphany (the guy in a tight-fitting costume has arrived and swept away the logjam with a single glance of his X-ray vision).
Desktop virtualisation helps those IT professionals looking at complex and long-standing deployments to make platform change into a longer-term, softer-impact process.
This white paper:
Describes the architecture that underpins desktop and application virtualisation
Lifts the lid on the terminology to help with design, sizing, selection and implementation
Get the ITPro. daily newsletter
Sign up today and you will receive a free copy of our Focus Report 2025 - the leading guidance on AI, cybersecurity and other IT challenges as per 700+ senior executives
Provides a view of, and links to details on, the Microsoft Desktop Virtualisation portfolio
Illustrates using these products through a case study from an early adopter
Outlines some custom and practice guidelines for Windows 7 guests
Dips a toe in the much larger topic of Virtual Machine Management
Explains what's free and what's paid for
Presents a sample checklist for a VDI (virtual desktop infrastructure) project that IT professionals can use as a starting point

Google just released a new AI agent for data scientists on Colab, and it’s free to use

Three-quarters of data analysts are still reliant on spreadsheets and manual preparation – but AI tools are now transforming the profession, boosting productivity, and supercharging efficiency